Short Trade on SAND 30 Sep 2025 at 13:41:17

Take profit at 0.2591 (0.69 %) and Stop Loss at 0.2619 (0.38 %)

Short Trade on SAND

The 30 Sep 2025 at 13:41:17

With 8767.8724 SAND at 0.2609$ per unit.

Position size of 2287.8886 $

Take profit at 0.2591 (0.69 %) and Stop Loss at 0.2619 (0.38 %)

That's a 1.8 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.7
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.75
Prediction 2 Probability
1 0.59
Prediction 3 Probability
0 0.53
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.639515

15m : 0.107298

1H : 0.027018

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0006082813573
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 0.260888
  4. ema21 : 0.262292
  5. ema50 : 0.263604
  6. ema100 : 0.263485
  7. price_ema9_diff : 0.00019606
  8. ema9_ema21_diff : -0.00535143
  9. ema21_ema50_diff : -0.00497896
  10. price_ema100_diff : -0.0096616
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.110187
  14. ema_slope_21 : -0.101216
  15. ema_slope_50 : -0.0532293
  16. ema_slope_100 : -0.0222946
  17. rsi : 0.426523
  18. adx : 0.261478
  19. kc_percentage : 0.352671
  20. kc_width_percentage : 0.0325997
  21. volume_ema_diff : -0.158776
  22. volume_ema1 : 209452.27672832
  23. volume_ema2 : 248985.21013938
  24. chop : 61.4553
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.259674
  29. ema21 : 0.260105
  30. ema50 : 0.261185
  31. ema100 : 0.262507
  32. price_ema9_diff : 0.00487384
  33. ema9_ema21_diff : -0.00165881
  34. ema21_ema50_diff : -0.00413521
  35. price_ema100_diff : -0.00597271
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.0578072
  39. ema_slope_21 : -0.0452105
  40. ema_slope_50 : -0.0345839
  41. ema_slope_100 : -0.026544
  42. rsi : 0.481833
  43. adx : 0.157762
  44. kc_percentage : 0.68435
  45. kc_width_percentage : 0.018135
  46. volume_ema_diff : -0.594458
  47. volume_ema1 : 22879.384295913
  48. volume_ema2 : 56416.868535192
  49. chop : 48.9339
  50. regime : bear_medium
  51. ¸
  52. 5m
  53. ema9 : 0.260124
  54. ema21 : 0.259764
  55. ema50 : 0.259983
  56. ema100 : 0.260411
  57. price_ema9_diff : 0.00313353
  58. ema9_ema21_diff : 0.00138685
  59. ema21_ema50_diff : -0.000840633
  60. price_ema100_diff : 0.00202921
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0386656
  64. ema_slope_21 : 0.015973
  65. ema_slope_50 : -0.001756
  66. ema_slope_100 : -0.00481398
  67. rsi : 0.642498
  68. adx : 0.219384
  69. kc_percentage : 1.00587
  70. kc_width_percentage : 0.00883977
  71. volume_ema_diff : -0.465947
  72. volume_ema1 : 9789.688055272
  73. volume_ema2 : 18330.945924037
  74. chop : 45.9119
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    113095
  80. 5m_price_ema100_diff:
    0.00248104
  81. 5m_price:
    113376
  82. 5m_correlation_with_coin:
    0.639515
  83. btc_indicators
  84. 15m_ema100:
    113483
  85. 15m_price_ema100_diff:
    -0.00246273
  86. 15m_price:
    113203
  87. 15m_correlation_with_coin:
    0.107298
  88. btc_indicators
  89. 1H_ema100:
    111604
  90. 1H_price_ema100_diff:
    0.0158732
  91. 1H_price:
    113376
  92. 1H_correlation_with_coin:
    0.027018
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 Sep 2025
13:41:17
30 Sep 2025
15:25:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2609 0.2619 0.2591 1.8 0.08438
Details
Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

  • Entry 0.2609
  • Stop Loss: 0.2619
  • Take Profit: 0.2591

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2619 - 0.2609 = 0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2609 - 0.2591 = 0.0018

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0018 / 0.001 = 1.8

📌 Position Size

Amount Margin Quantity Leverage
2287.8886 100 8767.8724 22.88
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss 0.001

Taille de position = 8 / 0.001 = 8000

Taille de position USD = 8000 x 0.2609 = 2087.2

Donc, tu peux acheter 8000 avec un stoploss a 0.2619

Avec un position size USD de 2087.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8000 x 0.001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8000 x 0.0018 = 14.4

Si Take Profit atteint, tu gagneras 14.4$

Résumé

  • Taille de position 8000
  • Taille de position USD 2087.2
  • Perte potentielle 8
  • Gain potentiel 14.4
  • Risk-Reward Ratio 1.8

📌 Peformances

TP % Target TP $ Target
0.69 % 15.78 $
SL % Target SL $ Target
0.38 % 8.77 $
PNL PNL %
-8.77 $ -0.38
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4216 % 109.99 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2591
            [entry_price] => 0.2609
            [stop_loss] => 0.262
            [rr_ratio] => 1.64
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 15:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2591
            [entry_price] => 0.2609
            [stop_loss] => 0.2621
            [rr_ratio] => 1.5
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2591
            [entry_price] => 0.2609
            [stop_loss] => 0.2622
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2591
            [entry_price] => 0.2609
            [stop_loss] => 0.2624
            [rr_ratio] => 1.2
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00164
            [max_drawdown] => 0.00246
            [rr_ratio] => 0.67
            [high] => 0.26336000
            [low] => 0.25926000
            [mfe_pct] => 0.63
            [mae_pct] => 0.94
            [mfe_mae_ratio] => 0.67
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T13:41:17-04:00
            [end_at] => 2025-09-30T15:41:17-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00164
            [max_drawdown] => 0.00614
            [rr_ratio] => 0.27
            [high] => 0.26704000
            [low] => 0.25926000
            [mfe_pct] => 0.63
            [mae_pct] => 2.35
            [mfe_mae_ratio] => 0.27
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T13:41:17-04:00
            [end_at] => 2025-09-30T20:41:17-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.26332000
            [high_after] => 0.26704000
            [low_before] => 0.25757000
            [low_after] => 0.25926000
            [is_new_high] => 
            [is_new_low] => 
        )

)